Portfolio risk forecasting has been and continues to be an
active research field for both academics and practitioners. Almost
all institutional investment management firms use quantitative
models for their portfolio forecasting, and researchers have
explored models' econometric foundations, relative performance, and
implications for capital market behavior and asset pricing
equilibrium. "Portfolio Risk Analysis" provides an insightful and
thorough overview of financial risk modeling, with an emphasis on
practical applications, empirical reality, and historical
perspective.
Beginning with mean-variance analysis and the capital asset
pricing model, the authors give a comprehensive and detailed
account of factor models, which are the key to successful risk
analysis in every economic climate. Topics range from the relative
merits of fundamental, statistical, and macroeconomic models, to
GARCH and other time series models, to the properties of the VIX
volatility index. The book covers both mainstream and alternative
asset classes, and includes in-depth treatments of model
integration and evaluation. Credit and liquidity risk and the
uncertainty of extreme events are examined in an intuitive and
rigorous way. An extensive literature review accompanies each
topic. The authors complement basic modeling techniques with
references to applications, empirical studies, and advanced
mathematical texts.
This book is essential for financial practitioners,
researchers, scholars, and students who want to understand the
nature of financial markets or work toward improving them.
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